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ABS Data (observed)

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Australian Bureau of Statistics data: 1,227 tables, offering only options confirmed to serve data

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for ABS Data (observed), and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

ABS Data API β€” cartography and front door

This project measured what the Australian Bureau of Statistics Data API actually serves β€” every dataflow, by retrieval β€” and exposes the result as a typed front door: an MCP server and an HTTP API that only ever offer what exists.

The ABS Data API cartography: unmasking the 4.21% reality β€” a comic-style map of the findings and the front door

Front doorhttps://abs-data-front-door.aicolab.workers.dev
Add to claude.ai / any MCP client as a connectorhttps://abs-data-front-door.aicolab.workers.dev/mcp (registry name io.github.AI-CoLab/abs-data)
MCP (2026-07-28, stateless) β€” 4 fixed verbs + Code Mode search/execute, resources, promptshttps://abs-data-front-door.aicolab.workers.dev/mcp
RPC door (Cap'n Web; what @abs/sdk speaks β€” HTTP batch or WebSocket)https://abs-data-front-door.aicolab.workers.dev/rpc
HTTP APIhttps://abs-data-front-door.aicolab.workers.dev/api/tables
Scalar referencehttps://abs-data-front-door.aicolab.workers.dev/api/docs
Corrected OpenAPIhttps://abs-data-front-door.aicolab.workers.dev/api/openapi.json
The menu as one documenthttps://abs-data-front-door.aicolab.workers.dev/api/catalogue.json
Live browsable cataloguehttps://abs-data-front-door.aicolab.workers.dev/catalogue
Static snapshot (claude.ai artifact)https://claude.ai/code/artifact/d0635dee-5cce-40dd-bfa2-7ab7dd03e5bd

What was found

  • 621,536,714 series exist across 1,227 dataflows. ABS's metadata implies 14,761,557,818 β€” a density of 4.21%, overstated 23.8Γ—.
  • The per-dimension metadata is exact: every advertised option exists, and nothing real is unadvertised. The entire overstatement is combinatorial.
  • 81.0% of series sit in flows whose sparsity is principled and verified in the keys β€” almost entirely hierarchical geography encoded as separate dimensions (STATE is a function of REGION in 664 flows). The remaining 19% is not reducible to a single-dimension dependency.
  • detail=serieskeysonly β€” the endpoint that should answer "what exists" β€” is broken (HTTP 200, malformed JSON). Eight of fifteen documented behaviours do not conform. See reports/.

DESIGN.md is the full record: verified API findings, every decision and why, and the corrections made along the way.

Layout

server.ts
packages/schema      Drizzle schema (declared vs observed, never joined), shared CSV/period parsing
packages/crawler     structural crawl, observed probe, conformance suite, sizing
packages/catalogue   delta report, sparsity analysis, contract generator, OpenAPI emitter, artifact
packages/contract    the corrected contract: stable Zod verbs + generated tables/options (per crawl)
packages/worker      the front door: MCP door (SDK v2) + HTTP door (oRPC + Scalar) + RPC door (Cap'n Web) on one Worker
packages/sdk         @abs/sdk β€” typed TypeScript client over the RPC door (connect(), invalidSelectionFromError())
reports/             delta.md/json, sparsity.md/json, openapi.json, abs-report-draft.md
data/                local SQLite catalogue (~400GB), raw archive, D1 import SQL β€” not committed

Running it

sh
pnpm install
pnpm db:migrate                       # local SQLite at data/abs-catalogue.sqlite

pnpm crawl:structural                 # 7 bulk requests, ~1 minute
pnpm crawl:probe -- '--key-values=*'  # every dataflow by retrieval; ~24h, 20GB heap for the giants
pnpm report:delta && pnpm report:sparsity
pnpm generate:contract                # -> packages/contract/src/generated, data/d1/*.sql
pnpm --filter @abs/catalogue emit:openapi

cd packages/worker
npx wrangler d1 execute abs-catalogue --local --file=../../data/d1/00-schema.sql   # then each data file
npx wrangler dev
ABS_MCP_URL=http://localhost:8787/mcp npx tsx test/protocol.ts                     # ~50 checks, all doors
pnpm --filter @abs/sdk example                                                     # the SDK against production
ABS_URL=http://localhost:8787 npx tsx test/limits.ts                               # rate limits (spends a minute's budget)

Rate limits, per client address: 600 requests/min overall; 120/min for data pulls (each is a live ABS call); 20/min for Code Mode execute. Over the limit, HTTP doors answer 429 with Retry-After; an MCP tool call gets a tool error.

Using the SDK from TypeScript:

server.ts
import { connect, invalidSelectionFromError } from "@abs/sdk";

const abs = connect(); // https://abs-data-front-door.aicolab.workers.dev/rpc
const [hits, cpi] = await Promise.all([          // one HTTP batch
  abs.searchTables({ query: "cpi rent", limit: 3 }),
  abs.describeTable("CPI"),
]);
try {
  const data = await abs.getData({ table: "CPI", select: { REGION: "Sydney", INDEX: "10001" }, lastN: 4 });
} catch (err) {
  const invalid = invalidSelectionFromError(err); // typed: reason, dimension, validOptions from observation
}

The probe is resumable: rerunning skips flows already recorded as complete. For the largest census flows run with NODE_OPTIONS=--max-old-space-size=20480.

Gotcha: wrangler keys the local D1 state by database_id. Changing the id in wrangler.toml (e.g. after d1 create) gives wrangler dev a fresh, empty local database β€” re-run the local import.

Principles

  • Observed-only. Declared metadata steers the crawler and feeds the defect report; it never enters what a caller sees. Availability is empirical: observed options from the catalogue, exact combination checks live against ABS's availableconstraint (which agrees with the probe on every dimension of every flow).
  • One contract, derived doors. Every crawl regenerates one contract; the MCP verbs, the HTTP routes, the OpenAPI document and the docs all read or render it. Nothing hardcodes the surface, so nothing drifts.
  • Only calls that return data. A selection is verified before it is forwarded; an invalid one comes back with the observed valid options β€” as an MRTR input_required on MCP, a typed 422 on HTTP.

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about ABS Data (observed)

We don't have a confirmed install command for ABS Data (observed) yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/AI-CoLab/abs-data-mcp) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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